Autism Spectrum Disorder Classification
- machine learning
- healthcare
- XGBoost
- scikit-learn
What it is
A machine-learning pipeline for Autism Spectrum Disorder classification. It includes a structured feature-engineering stage (variance-threshold selection, mean imputation, optional PCA) and trains three model families — XGBoost, SVM, and Gradient Boosting — each organized as its own module.
An early exploration of the ASD-diagnosis direction that later grew into multimodal and explainable-AI work.
Stack
Python · scikit-learn · XGBoost · pandas